Electrocardio signal QRS complex wave detection method based on morphology and wavelet transform

A technology based on morphology and wavelet transform, applied in the fields of medical science, diagnostic recording/measurement, diagnosis, etc., can solve the problem of decreasing detection accuracy

Active Publication Date: 2013-05-08
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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Moreover, the detection accuracy of the above two methods for some abnormal waveforms,

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  • Electrocardio signal QRS complex wave detection method based on morphology and wavelet transform
  • Electrocardio signal QRS complex wave detection method based on morphology and wavelet transform
  • Electrocardio signal QRS complex wave detection method based on morphology and wavelet transform

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[0050] The present invention will be further described below in conjunction with the accompanying drawings.

[0051] The invention relates to a combination of morphological operations suitable for detecting sharp peaks or troughs, and wavelet analysis suitable for detecting relatively gentle changing peaks or troughs. This paper proposes a QRS complex wave detection method based on morphological operations and wavelet analysis. The method adopts an adaptive threshold at the same time, combined with an effective R-wave backtracking mechanism, so that the method can target the ECG of the arrhythmia database in the preprocessed MIT-BIH database (a database for researching arrhythmia provided by the Massachusetts Institute of Technology). Signal, can achieve more than 99% detection accuracy. Method flow chart as figure 2 As shown, the specific operation steps are described as follows.

[0052] Step 1: Input the ECG signal after suppressing baseline drift and removing high-frequ...

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Abstract

The invention provides an electrocardio signal QRS complex wave detection method based on morphology and wavelet transform. The method comprises a first step of inputting an electrocardiograph (ECG) signal which restrains base line drift and after high-frequency noise is removed and carrying out segmentation, a second step of using a db6 wavelet to carry out four-layer wavelet decomposition to the segmented ECG signal obtained in the first step, a third step of using a multiresolution morphology decomposition method to decompose the segmented ECG signal obtained in the first step and searching a common model maximum value point on a third layer detail component and a fourth layer detail component and regarding the common model maximum value point as an R peak location, a fourth step of carrying out the OR operation to the R peak locations obtained in the second step and the third step and preserving a result as a new R peak location if the result is 1, a fifth step of recalling an R peak, a sixth step of confirming a starting point and a terminal point of an QRS complex wave, and a seventh step of confirming whether total ECG signal detection is finished or not, finishing the operation if the detection is finished, and updating a threshold value and repeating the second step to the seventh step until an algorithm is finished, if the detection is not finished. The method can reach detection accuracy rate of more than 99%.

Description

technical field [0001] The invention relates to a method for detecting QRS complex waves of electrocardiographic signals, in particular to a method for detecting QRS complex waves in an automatic diagnosis system for electrocardiographic signals in telemedicine. Background technique [0002] Heart disease has become the number one killer of human health. At present, about 17.5 million people die of heart disease every year in the world, accounting for 30% of all deaths. As an important basis for diagnosing cardiac physiological and pathological conditions, electrocardiogram (ECG, Electrocardiogram) diagnostic technology has developed into a professional discipline since its birth in the early nineteenth century. Real-time monitoring and automatic diagnosis are the focus of research in this field. [0003] An ECG signal is the electrical activity of the heart recorded by placing electrodes at specific locations on the body surface. A typical electrocardiogram is figure 1 A...

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Application Information

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IPC IPC(8): A61B5/0472A61B5/366
Inventor 张钦宇张璞郑石
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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